A Radar-Based Door Open Warning Technology for Vehicle Active Safety

In order to solve the problem that the rear closing target were collided because drivers and passengers opened door abruptly, a door open warning (DOW) system was presented. The proposed DOW system includes system and radar platform structure and key technology. Line Frequency Modulation Continuous Wave (LFMCW) radar sensor was used to really detect the closing targets in the rear of the vehicle. In the same time, cell maximum and minimum average-CFAR (CMMA-CFAR) algorithm was proposed to maintain higher detection rate by adjustment threshold in time based on the noise intensity. The DOW system is implemented on a DSP-based embedded platform. System was calibrated and tested on the Chery Arrizo7 car. For three representative closing targets: bicycles, motorcycles and motor vehicles, the early average warning rates were up to 98.00%, false alarm rate was down to 3.50%. The experimental results show that the proposed DOWS can really detect the moving targets which were into the behind warning area of the vehicle and give collision warning to driver and passenger effectively in various daytime and nighttime road environments.

[1]  Tarek R. Sheltami,et al.  Designing an integrated driver assistance system using image sensors , 2012, J. Intell. Manuf..

[2]  Bing-Fei Wu,et al.  A Real-Time Vision System for Nighttime Vehicle Detection and Traffic Surveillance , 2011, IEEE Transactions on Industrial Electronics.

[3]  Duan-Yu Chen,et al.  Salient video cube guided nighttime vehicle braking event detection , 2012, J. Vis. Commun. Image Represent..

[4]  Yen-Feng Li,et al.  Vision-based vehicle detection for a driver assistance system , 2011, Comput. Math. Appl..

[5]  Ján Labun,et al.  The new approach of evaluating differential signal of airborne FMCW radar-altimeter , 2012 .

[6]  Hugh L. Kennedy,et al.  Multidimensional digital smoothing filters for target detection , 2014, Signal Process..

[7]  Seungmok Choi,et al.  Technology analysis and low-cost design of automotive radar for adaptive cruise control system , 2012 .

[8]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[9]  Jianfeng Sun,et al.  Low-contrast target detection using polarized Streak Tube Imaging Lidar , 2013 .

[10]  Vicente Milanés Montero,et al.  Intelligent automatic overtaking system using vision for vehicle detection , 2012, Expert Syst. Appl..

[11]  Tao Wang,et al.  A multimodal temporal panorama approach for moving vehicle detection, reconstruction and classification , 2013, Comput. Vis. Image Underst..

[12]  Hugh L. Kennedy Multidimensional digital smoothing filters for target detection , 2015, Signal Process..

[13]  Ho Gi Jung,et al.  Isrss: Integrated side/rear safety system , 2010 .

[14]  Zhencheng Hu,et al.  A new multi-sensor platform for adaptive driving assistance system (ADAS) , 2011, 2011 9th World Congress on Intelligent Control and Automation.